Speech Recognition

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• Capabilities
  • End-to-End Speech ... Synthesize Speech ... Speech Recognition
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• Large Language Model (LLM) ... Natural Language Processing (NLP) ...Generation ... Classification ... Understanding ... Translation ... Tools & Services
• Attention Mechanism ...Transformer ...Generative Pre-trained Transformer (GPT) ... GAN ... BERT
• Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM)
• Generative AI ... Conversational AI ... OpenAI's ChatGPT ... Perplexity ... Microsoft's Bing ... You ...Google's Bard ... Baidu's Ernie
• ImageBind | Meta
• Iused
• Speechmatics Introduces Ursa: A Speech-To-Text System That Delivers Unprecedented Performance Across A Diverse Range of Voices | Tanushree Shenwai - MarkTechPost

Whisper

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• Whisper | OpenAI
• Lumberjack System

Whisper is an Automatic Speech Recognition Service (ASR) by OpenAI trained on 680,000 hours of multilingual and multitask supervised data collected from the web. 'We’ve trained and are open-sourcing a neural net called Whisper that approaches human level robustness and accuracy on English speech recognition.'

Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification. The Whisper v2-large model is currently available through our API with the whisper-1 model name. Currently, there is no difference between the open source version of Whisper and the version available through our API. However, through our API, we offer an optimized inference process which makes running Whisper through our API much faster than doing it through other means. For more technical details on Whisper, you can read the paper. - OpenAI